iPhone16,2
Geekbench ML Score
1436
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 02 2023 11:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1092
117.0 IPS |
|
|
Image Classification (F16)
|
100% |
1065
114.1 IPS |
|
|
Image Classification (I8)
|
81% |
683
73.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1461
9.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1438
8.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
1682
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
523
2.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
520
2.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
685
2.77 IPS |
|
|
Object Detection (F32)
|
100% |
1483
52.1 IPS |
|
|
Object Detection (F16)
|
100% |
1500
52.6 IPS |
|
|
Object Detection (I8)
|
52% |
992
34.8 IPS |
|
|
Face Detection (F32)
|
100% |
1897
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1865
21.4 IPS |
|
|
Face Detection (I8)
|
75% |
1050
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
5300
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
5290
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2843
438.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2840
437.7 IPS |
